Topological shape optimization scheme based on the artificial bee colony algorithm

Yong Ho Kim, Seog Young Han

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We propose a new topological shape optimization scheme based on the artificial bee colony algorithm (ABCA). Since the level set method (LSM) and phase field method (PFM) in topological shape optimization have been developed, one of any algorithms in this field has not yet been proposed. To perform the topological shape optimization based on the ABCA, a variable called the “Boundary Element Indicator (BEI),” is introduced, which serves to define the boundary elements whenever a temporary candidate solution is found in the employed and onlooker bee phases. Numerical examples are provided to verify the performance of the suggested ABCA compared with the discrete LSM and the ABCA for topology optimization. The numerical examples showed that holes in the structure are naturally created in the ABCA for topological shape optimization. Moreover, the objective function of the suggested ABCA is lower than that of the ABCA for topology optimization, and is similar to that of the discrete LSM. The convergence rate of the suggested ABCA is the fastest among the comparison methods. Therefore, it can be verified that the suggested topological shape optimization scheme, based on the ABCA, is the most effective among the comparison methods.

Original languageEnglish
Pages (from-to)1393-1401
Number of pages9
JournalInternational Journal of Precision Engineering and Manufacturing
Volume18
Issue number10
DOIs
StatePublished - 2017 Oct 1

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Shape optimization

Keywords

  • Artificial bee colony algorithm
  • Finite element method
  • Shape optimization
  • Stochastic search method
  • Topology optimization

Cite this

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Topological shape optimization scheme based on the artificial bee colony algorithm. / Kim, Yong Ho; Han, Seog Young.

In: International Journal of Precision Engineering and Manufacturing, Vol. 18, No. 10, 01.10.2017, p. 1393-1401.

Research output: Contribution to journalArticle

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